Advanced ML and GenAI Certificate - IITM Pravartak
The Advanced Certificate Programme in Machine Learning, Gen AI & LLMs for Business Applications by IITM Pravartak provides comprehensive training in AI technologies. The program covers ML fundamentals to advanced GenAI applications with practical projects.
Instructors:
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Course Start Date:
11th Jan, 2026
Application Deadline:
Closing Soon
Duration:
8-8 Months
₹ 1,30,000
Overview
IITM Pravartak's Advanced Certificate Programme offers comprehensive training in cutting-edge AI technologies. This program bridges theoretical foundations with practical applications through hands-on projects and industry-relevant case studies.
Why Technology & Analytics?
This program uniquely combines academic excellence with practical industry applications. Key features include live online teaching by IIT faculty, optional campus immersion, hands-on simulations, and comprehensive coverage of emerging AI technologies.
What does this course have to offer?
Key Highlights
Live Online Teaching by IIT Faculty
Industry-led Pedagogy
2 Days Campus Immersion
Hands-on Simulation Training
Practical Python Programming
Real-world Projects
Comprehensive AI Coverage
Expert-led Sessions
Who is this programme for?
Tech professionals seeking AI expertise
Software developers and engineers
Data scientists and analysts
IT professionals
Research professionals
Minimum Eligibility
Graduate/4-year Engineering Degree/BSc/BCA/MSc/MCA
Minimum 50% marks required
Minimum 1 year tech experience
IT/Software/Analytics background preferred
Who is the programme for?
Admission is based on academic qualifications and work experience. The program requires 70% attendance and includes continuous assessment through homework, case studies, and final examination.
Important Information
Selection process
How to apply?
Curriculum
The curriculum spans seven modules covering machine learning fundamentals, deep learning, generative AI, LLMs, and practical applications. Each module includes hands-on projects and practical implementations.
There are 7 semesters in this course
The program covers seven comprehensive modules: ML fundamentals, deep learning technologies, generative AI, LLMs and fine-tuning, multimodal applications, integrated GenAI applications, and production deployment. Each module includes capstone projects and practical implementations.
Module 1: Fundamentals of Machine Learning
Module 2: Deep Learning Technologies
Module 3: Generative AI Technologies
Module 4: Large Language Models
Module 5: Multimodal LLM Applications
Module 6: Integrated Applications
Module 7: Production Implementation
Programme Length
The program duration is 8-10 months with weekly Sunday sessions. The flexible format includes online classes and optional campus immersion for hands-on learning.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Director and Programme CoordinatorAssociate Professor, Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras
Prof. Babji Srinivasan is a prominent academic serving as the Director and Programme Coordinator in the fields of Applied Mechanics and Biomedical Engineering at the Indian Institute of Technology Madras. With a strong educational background and extensive experience in engineering, he is dedicated to advancing research and education in applied mechanics, focusing on innovative solutions in biomedical applications. His leadership role involves overseeing academic programs, guiding faculty, and enhancing the overall educational experience for students.
Director, Bit2qubit Inc; Former Qualcomm Employee; Consultant
Dr. Ramji Srinivasan is the Director of Bit2qubit Inc., where he leverages his extensive expertise in technology and management to drive innovation and strategic initiatives within the organization. With a background as a former employee at Qualcomm, he brings a wealth of experience in telecommunications and semiconductor technologies, which enhances his capability to lead in the rapidly evolving tech landscape. His role as a consultant further underscores his proficiency in providing strategic insights and solutions to various industry challenges.
Tuition Fee
The total program fee is INR 1,30,000 + GST with an application fee of INR 1,500 + GST. Payment can be made in three installments: INR 60,000, INR 40,000, and INR 30,000 + GST.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students experience blended learning through live online sessions, hands-on programming, and practical projects. The program includes simulations, quizzes, and interactive learning modules.
University Experience
IITM Pravartak provides comprehensive learning support through its technology innovation hub. Students benefit from industry collaboration, research expertise, and government-backed infrastructure.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established under the National Mission on Interdisciplinary Cyber-Physical Systems, IITM Pravartak Technology Innovation Hub is hosted by the Indian Institute of Technology Madras. The hub focuses on advancing research and development in the areas of Sensors, Networking, Actuators, and Control Systems (SNACS). It aims to foster collaboration among academia, industry, and government to create innovative solutions for societal challenges.
170
Total Projects
10+
Research Areas
31
Publications
Affiliation & Recognition
Department of Science and Technology, Government of India
National Mission on Interdisciplinary Cyber-Physical Systems
IIT Madras
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Director and Programme CoordinatorAssociate Professor, Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras
Prof. Babji Srinivasan is a prominent academic serving as the Director and Programme Coordinator in the fields of Applied Mechanics and Biomedical Engineering at the Indian Institute of Technology Madras. With a strong educational background and extensive experience in engineering, he is dedicated to advancing research and education in applied mechanics, focusing on innovative solutions in biomedical applications. His leadership role involves overseeing academic programs, guiding faculty, and enhancing the overall educational experience for students.
Director, Bit2qubit Inc; Former Qualcomm Employee; Consultant
Dr. Ramji Srinivasan is the Director of Bit2qubit Inc., where he leverages his extensive expertise in technology and management to drive innovation and strategic initiatives within the organization. With a background as a former employee at Qualcomm, he brings a wealth of experience in telecommunications and semiconductor technologies, which enhances his capability to lead in the rapidly evolving tech landscape. His role as a consultant further underscores his proficiency in providing strategic insights and solutions to various industry challenges.
Career services
The hub offers career development opportunities through partnerships with industry leaders and startups. It provides training programs aimed at equipping students with industry-ready skills in areas such as AI, machine learning, cybersecurity, and embedded systems. The hub also facilitates internships and project opportunities for students to gain practical experience.
1083
Skill Development Sessions
928
Job Opportunities Created
Course Start Date:
11th Jan, 2026
Application Deadline:
Closing Soon
Duration:
8-8 Months
₹ 1,30,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.